Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.

About this role

Sensor Tower's mission is to measure the world's digital economy. As the Product Manager for Web Insights, you'll own strategy and execution for our web and generative AI analytics products, ensuring they're accurate, intuitive, and solve real customer problems

You'll be assigned high-impact initiatives sourced directly from active customer requests, such as building an SEO/competitive-traffic solution with raw URL-level traffic data, improving competitive discovery and reporting UX, and expanding GenAI citations and brand-visibility tracking. You'll interact directly with users and business stakeholders to gather detailed use cases and translate them into clear requirements. You'll collaborate with Data Science to refine and expand web traffic and engagement estimates, and share implementation and project management responsibilities with Engineering to ship new features and data pipelines. You'll also partner with Product Marketing and GTM to communicate the value of new capabilities and drive adoption of the Web Insights product.

This is a great fit for a Product Manager who is energized by analytics products, comfortable getting into the data themselves, and excited about the web traffic, competitive intelligence, or digital marketing space.

Salary range: $125,000 - 150,000 USD

What you will work on

Interview users to identify needs, workflows, and pain points related to web traffic and engagement data.

Write clear technical requirements for new features, metrics, and data delivery solutions.

Collaborate daily with Data Science and Engineering to prioritize, scope, and ship improvements to web estimates and product features.

Propose and maintain a roadmap for future Web and Generative AI Insights releases.

Analyze usage and product data to identify opportunities and measure the impact of shipped features.

Communicate functional and business details of upcoming releases to less technical teams, including Marketing, Sales, Customer Success.

Monitor data quality and accuracy of web estimates, working with Data Science to resolve issues and improve methodology.

What we are looking for

3–5 years of professional experience, preferably in product management at a B2B or SaaS company.

Experience working with data products, analytics platforms, or APIs.

Comfortable with writing SQL and using data directly to inform product decisions.

An interest in web analytics, competitive intelligence, digital marketing, or adjacent spaces (SEO experience is a strong plus).

Familiarity with BI and analytics tooling (e.g., Snowflake, Tableau, Amplitude, Mixpanel) is a plus.

AI-fluent and comfortable working daily with tools like Claude, building custom agents, and leveraging MCP integrations to move faster and unlock new workflows.

Strong written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences.

Experience collaborating cross-functionally with Engineering, Design, and Sales/GTM teams.

Degree in Computer Science, Engineering, or a related field is a plus, but not required.

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To all recruitment agencies:

Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.